diff --git a/litellm/llms/openai.py b/litellm/llms/openai.py
index dbe178b300..1bbf3ca7c6 100644
--- a/litellm/llms/openai.py
+++ b/litellm/llms/openai.py
@@ -960,6 +960,7 @@ class OpenAIChatCompletion(BaseLLM):
                         return convert_to_model_response_object(
                             response_object=stringified_response,
                             model_response_object=model_response,
+                            response_headers=headers,
                         )
                 except Exception as e:
                     if print_verbose is not None:
@@ -1108,6 +1109,7 @@ class OpenAIChatCompletion(BaseLLM):
             custom_llm_provider="openai",
             logging_obj=logging_obj,
             stream_options=data.get("stream_options", None),
+            response_headers=headers,
         )
         return streamwrapper
 
@@ -1201,7 +1203,7 @@ class OpenAIChatCompletion(BaseLLM):
         except Exception as e:
             raise e
 
-    async def make_sync_openai_embedding_request(
+    def make_sync_openai_embedding_request(
         self,
         openai_client: OpenAI,
         data: dict,
@@ -1217,6 +1219,7 @@ class OpenAIChatCompletion(BaseLLM):
                 raw_response = openai_client.embeddings.with_raw_response.create(
                     **data, timeout=timeout
                 )  # type: ignore
+
                 headers = dict(raw_response.headers)
                 response = raw_response.parse()
                 return headers, response
@@ -1321,9 +1324,9 @@ class OpenAIChatCompletion(BaseLLM):
                 client=client,
             )
 
-            ## COMPLETION CALL
+            ## embedding CALL
             headers: Optional[Dict] = None
-            headers, response = self.make_sync_openai_embedding_request(
+            headers, sync_embedding_response = self.make_sync_openai_embedding_request(
                 openai_client=openai_client, data=data, timeout=timeout
             )  # type: ignore
 
@@ -1333,9 +1336,14 @@ class OpenAIChatCompletion(BaseLLM):
                 input=input,
                 api_key=api_key,
                 additional_args={"complete_input_dict": data},
-                original_response=response,
+                original_response=sync_embedding_response,
             )
-            return convert_to_model_response_object(response_object=response.model_dump(), model_response_object=model_response, response_type="embedding")  # type: ignore
+            return convert_to_model_response_object(
+                response_object=sync_embedding_response.model_dump(),
+                model_response_object=model_response,
+                response_headers=headers,
+                response_type="embedding",
+            )  # type: ignore
         except OpenAIError as e:
             exception_mapping_worked = True
             raise e